WIP: prepare relation job
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46e76affeb
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@ -11,6 +11,8 @@ import org.apache.commons.io.IOUtils;
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import org.apache.spark.SparkConf;
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import org.apache.spark.api.java.JavaRDD;
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import org.apache.spark.api.java.JavaSparkContext;
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import org.apache.spark.api.java.function.Function;
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import org.apache.spark.api.java.function.PairFunction;
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import org.apache.spark.rdd.RDD;
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import org.apache.spark.sql.Encoders;
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import org.apache.spark.sql.SaveMode;
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@ -30,6 +32,7 @@ import eu.dnetlib.dhp.common.HdfsSupport;
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import eu.dnetlib.dhp.oa.provision.model.SortableRelationKey;
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import eu.dnetlib.dhp.oa.provision.utils.RelationPartitioner;
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import eu.dnetlib.dhp.schema.oaf.Relation;
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import scala.Tuple2;
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/**
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* Joins the graph nodes by resolving the links of distance = 1 to create an adjacency list of linked objects. The
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@ -63,21 +66,6 @@ public class PrepareRelationsJob {
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public static final int DEFAULT_NUM_PARTITIONS = 3000;
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private static final Map<String, Integer> weights = Maps.newHashMap();
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static {
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weights.put("outcome", 0);
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weights.put("supplement", 1);
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weights.put("affiliation", 2);
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weights.put("relationship", 3);
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weights.put("publicationDataset", 4);
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weights.put("similarity", 5);
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weights.put("provision", 6);
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weights.put("participation", 7);
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weights.put("dedup", 8);
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}
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public static void main(String[] args) throws Exception {
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String jsonConfiguration = IOUtils
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.toString(
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@ -146,21 +134,26 @@ public class PrepareRelationsJob {
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int relPartitions) {
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RDD<Relation> cappedRels = readPathRelationRDD(spark, inputRelationsPath)
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.repartition(relPartitions)
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.filter(rel -> !rel.getDataInfo().getDeletedbyinference())
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.filter(rel -> !relationFilter.contains(rel.getRelClass()))
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.filter(rel -> rel.getDataInfo().getDeletedbyinference() == false)
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.filter(rel -> relationFilter.contains(rel.getRelClass()) == false)
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// group by SOURCE and apply limit
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.groupBy(r -> SortableRelationKey.create(r, r.getSource()))
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.repartitionAndSortWithinPartitions(
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new RelationPartitioner(relPartitions),
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(SerializableComparator<SortableRelationKey>) (o1, o2) -> compare(o1, o2))
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.flatMap(t -> Iterables.limit(t._2(), maxRelations).iterator())
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.mapToPair(r -> new Tuple2<>(SortableRelationKey.create(r, r.getSource()), r))
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.repartitionAndSortWithinPartitions(new RelationPartitioner(relPartitions))
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.groupBy(Tuple2::_1)
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.map(Tuple2::_2)
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.map(t -> Iterables.limit(t, maxRelations))
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.flatMap(Iterable::iterator)
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.map(Tuple2::_2)
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// group by TARGET and apply limit
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.groupBy(r -> SortableRelationKey.create(r, r.getTarget()))
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.repartitionAndSortWithinPartitions(
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new RelationPartitioner(relPartitions),
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(SerializableComparator<SortableRelationKey>) (o1, o2) -> compare(o1, o2))
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.flatMap(t -> Iterables.limit(t._2(), maxRelations).iterator())
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.mapToPair(r -> new Tuple2<>(SortableRelationKey.create(r, r.getTarget()), r))
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.repartitionAndSortWithinPartitions(new RelationPartitioner(relPartitions))
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.groupBy(Tuple2::_1)
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.map(Tuple2::_2)
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.map(t -> Iterables.limit(t, maxRelations))
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.flatMap(Iterable::iterator)
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.map(Tuple2::_2)
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.rdd();
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spark
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@ -170,24 +163,6 @@ public class PrepareRelationsJob {
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.parquet(outputPath);
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}
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private static int compare(SortableRelationKey o1, SortableRelationKey o2) {
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final Integer w1 = Optional.ofNullable(weights.get(o1.getSubRelType())).orElse(Integer.MAX_VALUE);
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final Integer w2 = Optional.ofNullable(weights.get(o2.getSubRelType())).orElse(Integer.MAX_VALUE);
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return ComparisonChain
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.start()
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.compare(w1, w2)
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.compare(o1.getSource(), o2.getSource())
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.compare(o1.getTarget(), o2.getTarget())
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.result();
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}
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@FunctionalInterface
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public interface SerializableComparator<T> extends Comparator<T>, Serializable {
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@Override
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int compare(T o1, T o2);
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}
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/**
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* Reads a JavaRDD of eu.dnetlib.dhp.oa.provision.model.SortableRelation objects from a newline delimited json text
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* file,
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@ -11,25 +11,34 @@ import com.google.common.collect.Maps;
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import eu.dnetlib.dhp.schema.oaf.Relation;
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public class SortableRelationKey implements Serializable {
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public class SortableRelationKey implements Comparable<SortableRelationKey>, Serializable {
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private static final Map<String, Integer> weights = Maps.newHashMap();
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static {
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weights.put("outcome", 0);
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weights.put("supplement", 1);
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weights.put("review", 2);
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weights.put("citation", 3);
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weights.put("affiliation", 4);
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weights.put("relationship", 5);
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weights.put("publicationDataset", 6);
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weights.put("similarity", 7);
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weights.put("provision", 8);
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weights.put("participation", 9);
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weights.put("dedup", 10);
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}
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private static final long serialVersionUID = 3232323;
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private String groupingKey;
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private String source;
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private String target;
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private String subRelType;
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public String getSource() {
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return source;
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}
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public static SortableRelationKey create(Relation r, String groupingKey) {
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SortableRelationKey sr = new SortableRelationKey();
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sr.setGroupingKey(groupingKey);
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sr.setSource(r.getSource());
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sr.setTarget(r.getTarget());
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sr.setSubRelType(r.getSubRelType());
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return sr;
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}
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@ -49,16 +58,16 @@ public class SortableRelationKey implements Serializable {
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return Objects.hashCode(getGroupingKey());
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}
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public void setSource(String source) {
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this.source = source;
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@Override
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public int compareTo(SortableRelationKey o) {
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return ComparisonChain
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.start()
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.compare(getWeight(this), getWeight(o))
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.result() * -1;
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}
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public String getTarget() {
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return target;
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}
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public void setTarget(String target) {
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this.target = target;
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private Integer getWeight(SortableRelationKey o) {
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return Optional.ofNullable(weights.get(o.getSubRelType())).orElse(Integer.MAX_VALUE);
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}
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public String getSubRelType() {
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@ -76,4 +85,5 @@ public class SortableRelationKey implements Serializable {
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public void setGroupingKey(String groupingKey) {
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this.groupingKey = groupingKey;
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}
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}
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@ -12,6 +12,8 @@ import eu.dnetlib.dhp.oa.provision.model.SortableRelationKey;
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*/
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public class RelationPartitioner extends Partitioner {
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private static final long serialVersionUID = 343434456L;
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private final int numPartitions;
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public RelationPartitioner(int numPartitions) {
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@ -29,4 +31,14 @@ public class RelationPartitioner extends Partitioner {
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return Utils.nonNegativeMod(partitionKey.getGroupingKey().hashCode(), numPartitions());
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}
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@Override
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public boolean equals(Object obj) {
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if (obj instanceof RelationPartitioner) {
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RelationPartitioner p = (RelationPartitioner) obj;
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if (p.numPartitions() == numPartitions())
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return true;
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}
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return false;
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}
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}
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